Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of DSpace
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Cruz, Michael Ryan S."

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • No Thumbnail Available
    Publication
    Maritescanner:
    (Don Mariano Marcos Memorial State University – Mid La Union Campus, 2024-12) Rimando, Chrystal Mhaye G.; Cruz, Michael Ryan S.; Flores, Elmer E., Jr.; Mendoza, Hazel F.; Malicdem, Alvin R.; Patacsil, Joseph A.; Nisperos, Zhella Anne V.
    The rise of disinformation made it harder to trust what isseen online, especially in the news. To address this, MariteScanner was developed as a web-based tool designed to help users determine whether an online news article is credible. The system used technologies like the Facebook Graph API and advanced algorithms to cross-check informationwith trusted sources, analyzedmetadata, and identified patternsthatsuggested whether the content was reliable or misleading. The CRISP-DM framework guided the processfrom data collection and cleaning to system testing. The final product was an easyto-use platform that provided clear results, such as credibility scores, classifications, and supporting evidence. During testing, the System Usability Scale (SUS) was used, and the tool earned a score of 82.29, indicating it was user-friendly and met expectations.

DSpace software copyright © 2002-2026 LYRASIS

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback